Konstantia Georgouli
Konstantia Georgouli
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Continuous statistical modelling for rapid detection of adulteration of extra virgin olive oil using mid infrared and Raman spectroscopic data
K Georgouli, JM Del Rincon, A Koidis
Food Chemistry 217, 735-742, 2017
Comparison between proton transfer reaction mass spectrometry and near infrared spectroscopy for the authentication of Brazilian coffee: A preliminary chemometric study
PI Monteiro, JS Santos, VRA Brizola, CTP Deolindo, A Koot, ...
Food Control 91, 276-283, 2018
Data augmentation in food science: Synthesising spectroscopic data of vegetable oils for performance enhancement
K Georgouli, MT Osorio, J Martinez Del Rincon, A Koidis
Journal of Chemometrics 32 (6), e3004, 2018
Incremental model learning for spectroscopy-based food analysis
K Diaz-Chito, K Georgouli, A Koidis, JM Del Rincon
Chemometrics and Intelligent Laboratory Systems 167, 123-131, 2017
Towards dynamic simulation of a whole cell model
JS Yeom, K Georgouli, R Blake, A Navid
Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021
Continuous statistical modelling in characterisation of complex hydrocolloid mixtures using near infrared spectroscopy
K Georgouli, B Carrasco, D Vincke, JM Del Rincon, A Koidis, V Baeten, ...
Chemometrics and Intelligent Laboratory Systems 196, 103910, 2020
Predicting membrane orientational states of RAS and RAS-RAF based on the lipid environment using deep learning
F Aydin, K Georgouli, G Dharuman, JN Glosli, TS Carpenter, ...
Biophysical Journal 122 (3), 506a, 2023
Multi-scale models of whole cells: progress and challenges
K Georgouli, JS Yeom, R Blake, A Navid
Frontiers in Cell and Developmental Biology 11, 1260507, 2023
Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning
F Aydin, K Georgouli, G Dharuman, JN Glosli, FC Lightstone, ...
arXiv preprint arXiv:2207.06630, 2022
Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints
K Georgouli, HI Ingólfsson, F Aydin, M Heimann, FC Lightstone, ...
arXiv preprint arXiv:2207.04333, 2022
Instrument-Agnostic Rapid Spectroscopic Methods using Data Augmentation Techniques in Vegetable Oil Speciation
K Georgouli, J Martinez-del-Rincon, T Koidis
Eurofed Lipid Conference, 2018
Novel Chemometrics for Food Analysis Using Vibrational Spectroscopic Techniques
K Georgouli
Queen's University Belfast. Faculty of Medicine, Health and Life Sciences, July, 2018
Building generic, easily-updatable chemometric models with harmonisation and augmentation features: The case of FTIR vegetable oils classification
K Georgouli, K Diaz-Chito, J Martinez-del Rincon, A Koidis
Ιnternational Conference IMEKOFOODS (TC23): Metrology Promoting …, 2017
Characterisation of hydrocolloids by vibrational spectroscopy and multivariate analysis
K Georgouli, D Vincke, B Carrasco, J Martinez del Rincon, ...
Asian NIR Symposium 2016: 32nd NIR Forum, 2016
Generating Data Augmented Spectroscopic Data For Performance Enhancement
K Georgouli, JM del Rincon, A Koidis
Chemometrics in Analytical Chemistry, 2016
multivariate analysis
K Georgouli, D Vincke, B Carrasco, J Martinez del Rincon, ...
Identification of palm oil and palm oil derivatives in biscuits using an innovative spectroscopic and chromatographic approach.
A Koidis, D Han, T Osorio, K Georgouli, JM del Rincon
EuroFed Lipid Conference, 2015
Development of a novel continuous statistical modelling technique for detecting the adulteration of extra virgin olive oil with hazelnut oil by using spectroscopic data
K Georgouli, J Martinez-del-Rincon, A Koidis
43rd Annual Food Research Conference, 2014
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